Conjoint Data Mining of Structured and Semi-structured Data

Qi H. Pan, Fedja Hadzic, Tharam S. Dillon
2008 2008 Fourth International Conference on Semantics, Knowledge and Grid  
With the knowledge management requirement growing, enterprises are becoming increasingly aware of the significance of interlinking business information across structured and semi-structured data sources. This problem has become more important with the growing amount of semi-structured data often found in XML repositories, web logs, biological databases, etc. Effectively creating links between semi-structured and structured data is a challenging and unresolved problem. Once an optimized method
more » ... s been formulated, the process of data mining can be implemented in a conjoint manner. This paper investigates a way in which this challenging problem can be tackled. The proposed method is experimentally evaluated using a real world database and the effectiveness and the potential in discovering collective information is demonstrated. Fourth International Conference on Semantics, Knowledge and Grid 978-0-7695-3401-5/08 $25.00
doi:10.1109/skg.2008.57 dblp:conf/skg/PanHD08 fatcat:7cxhoqxcijbpfikzykwdjwbsvy